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Carlos G. Fernandez's Projects

amazon_vine_analysis icon amazon_vine_analysis

Using PySpark to perform the ETL process to extract the dataset, transform the data, connect to an AWS RDS instance, and load the transformed data into pgAdmin.

automating_excel icon automating_excel

Automating Excel workbook using Python to correct values and create a bar chart.

bikesharing icon bikesharing

Analyze all the rideshare data from January to early May of 2019 and create a visualization of the data.

credit_risk_analysis icon credit_risk_analysis

Use Resampling Models to Predict Credit Risk. Use the SMOTEENN Algorithm to Predict Credit Risk. Use Ensemble Classifiers to Predict Credit Risk. A Written Report on the Credit Risk Analysis.

cryptocurrencies icon cryptocurrencies

Describe the differences between supervised and unsupervised learning, including real-world examples of each. Preprocess data for unsupervised learning. Cluster data using the K-means algorithm. Determine the best number of centroids for K-means using the elbow curve. Use PCA to limit features and speed up the model.

kickstarter-analysis icon kickstarter-analysis

The analysis exhibits the data to show the best months to launch a successful campaign and the optimum range for the monetary goal amount.

mechacar_statistical_analysis icon mechacar_statistical_analysis

R Analysis: Linear Regression to Predict MPG, Summary Statistics on Suspension Coils, T-Test on Suspension Coils, Design a Study Comparing the MechaCar to the Competition.

neural_network_charity_analysis icon neural_network_charity_analysis

Preprocessing Data for a Neural Network Model. Compile, Train, and Evaluate the Model. Optimize the Model. A Written Report on the Neural Network Model

plotly_chart icon plotly_chart

Using JavaScript and Plotly.js to create an interactive dashboard

pyber_analysis icon pyber_analysis

Project: Analyze all the rideshare data from January to early May of 2019 and create a visualization of the data.

self-assessment icon self-assessment

The 24 weeks in this course tested my abilities as a data professional with many different concepts in each module.

stock-analysis icon stock-analysis

This analysis consisted of 12 green energy stock performances during 2017 and 2018. The analysis was executed using VBA to determine the total volume and return on investment.

tmdb_box_office_prediction icon tmdb_box_office_prediction

Look over the metadata on over 3,000 past films from The Movie Database to try and predict their overall worldwide box office revenue

ufos icon ufos

UFO Sighting Analysis with JavaScript

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